FrEIA 0.2

Papers

Our following papers use FrEIA, with links to code given below.

“Generative Classifiers as a Basis for Trustworthy Image Classification” (CVPR 2021)

• Paper: https://arxiv.org/abs/2007.15036

• Code: https://github.com/RayDeeA/ibinn_imagenet

“Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification” (Neurips 2020)

• Paper: arxiv.org/abs/2001.06448

• Code: github.com/VLL-HD/exact_information_bottleneck

“Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)” (ICLR 2020)

• Paper: arxiv.org/abs/2001.04872

• Code: github.com/VLL-HD/GIN

“Guided Image Generation with Conditional Invertible Neural Networks” (2019)

• Paper: arxiv.org/abs/1907.02392

• Supplement: drive.google.com/file/d/1_OoiIGhLeVJGaZFeBt0OWOq8ZCtiI7li

• Code: github.com/VLL-HD/conditional_invertible_neural_networks

“Analyzing inverse problems with invertible neural networks.” (ICLR 2019)

• Paper: arxiv.org/abs/1808.04730

• Code: github.com/VLL-HD/analyzing_inverse_problems

Installation

FrEIA has the following dependencies:

pip install git+https://github.com/VLL-HD/FrEIA.git

# first clone the repository
git clone https://github.com/VLL-HD/FrEIA.git
cd FrEIA
# install the dependencies
pip install -r requirements.txt
# install in development mode, so that changes don't require a reinstall
python setup.py develop